Credit Worthiness

Debit Card

Determining the credit of a person is a standard financial operation.
Many systems and methods have been implemented to determine if a person is likely to pay back a loan or if they are capable of owning a credit card. The problem with these methodologies is that they are based on general models and theories that may not closely match the reality of a specific financial institution.

For example, our customer  provides loans to small businesses. Standard loan evaluation methodologies do not apply. Therefore they needed a custom, predictive engine that would help quickly determine the credit worthiness of an individual. This can be achieved in two ways:

  • Predict the type of customer: A++, A+, A, B,C,D
  • Predict the number of times an operator would have to call the customer in order to collect payments.

simMachines provided the two solutions in less than two weeks and therefore the customer decided to use our services.

 


Features

  • Auditable
  • Cloud based
  • Real-time Predictions
  • Simple Integration
  • State-of-the-art accuracy
Share

Related Work

Sentiment Analysis

Sentiment Analysis

We determine the sentiment of natural language text in order to understand the opinions of large numbers of individuals.

Logistics Optimization

Logistics Optimization

We predict the duty a product will have to pay when it enters a foreign country.

Medical Diagnosis

Medical Diagnosis

simMachines partnered with Traxxsson to develop a next generation Prostate cancer test that is over 90% accurate.